Unmanned Aerial Vehicle-Assisted Sparse Sensing in Wireless Sensor Networks

• DOI: 10.1109/lwc.2023.3254580
• Publication Date: 2023-03-09T19:39:59Z
• Authors: Cuicui Lv; Yu Ren; Xiangming Li; Peijin Wang; Zhenbin Du; Guoxin Ma; Haokun Chi
• Keywords: Minification

Wireless Sensor Networks (WSNs) suffer from enormous energy consumption when sensor nodes transmit data over long distances. Hence, this letter develops an Unmanned Aerial Vehicle (UAV)-assisted sparse sensing algorithm to address issue. Specifically, the are locally stored and sparsely sampled through Compressive Sensing (CS), while a UAV is utilized as mobile base station collect partial nodes. In proposed WSN system, minimization problem formulated combinatorial optimization problem, which solved utilizing joint Greedy based on Neighborhood Search Strategy (GNSS). Extensive experiments demonstrate that achieves measurement with smaller error decreases consumption.